基于多源异质数据融合的微电网切换故障识别方法
Hongzhao Yang1,2,3, Zhan Zhang4,5, Shijie Zhang6,7
1School of Software, Changsha Social Work College, Changsha, 410004, China. Yhz21star@qq.com.
Scientific reports
|December 1, 2025
概括
一种新的时间同步故障识别 (TS-MR) 方法提高了微电网切换的安全性. 这种方法可以准确地识别高可靠性和可解释性评估的错误操作,满足实时工程需求.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
- 人工智能的人工智能
背景情况:
- 微电网切换操作对于电网稳定性和安全性至关重要.
- 切换过程中的错误操作可能导致级联故障和重大中断.
- 目前用于检测切换故障的方法缺乏精度和实时功能.
研究的目的:
- 开发一种强大而准确的方法,用于识别微电网切换操作中的故障.
- 为了实现数毫秒级别的时间同步,多源异质数据.
- 为错误操作提供可解释的评估,同时满足实时约束.
主要方法:
- 拟议的时间同步故障识别 (TS-MR) 方法.
- 基于规则的预先选,使用操作程序和反误操作互锁.
- 两个阶段的时间同步方案,结合变量贝叶斯推理和UKF.
- 变压器,TCN和GNN的融合,用于跨模式的代表性和歧视.
主要成果:
- 在典型的切换场景中,TS-MR实现了94.69%的准确性和0.977的AUC.
- 端到端延迟约为80毫秒,满足了工程级实时约束.
- 与现有方法相比,证明了更好的准确性 (0.93.7%点) 和AUC (0.0240.057).
结论:
- TS-MR为微电网切换提供了高可靠性故障识别.
- 该方法提供可解释的评估,提高了安全性和可靠性.
- 该方法满足实际应用的严格实时性能要求.
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